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Qualitative text analysis : a guide to methods, practice & using software / Udo Kuckartz

Por: Tipo de material: TextoIdioma: Inglés Detalles de publicación: EUA : Sage, 2014Edición: 1a edDescripción: 173 p. : esquemas, 17 x 24 cmISBN:
  • 978-1-4462-6775-2
Tema(s): Clasificación LoC:
  • Q180.55.E4 K83
Resumen: How can you analyse narratives, interviews, field notes or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are higjly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master's and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
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Books CIC-UMAD General Q180.55.E4 K83 (Navegar estantería(Abre debajo)) V. 1 Ej. 1 Disponible 17857

How can you analyse narratives, interviews, field notes or focus group data?
Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are higjly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results.
The book is intended for Master's and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.

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